Publications :Publication List (sourced via UOW Database)
Krivitsky, P. N. & Morris, M. (2017). Inference for social network models from egocentrically-sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US. Annals of Applied Statistics, 11 (1), 427-455.
Krivitsky, P. N.. (2009). Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models. Social Networks, 31 (3), 204-213.
Krivitsky, P. N.. (2012). Exponential-family random graph models for valued networks. Electrical Journal of Statistics, 6 1100-1128.
Krivitsky, P. N.. & Kolaczyk, E. D. (2015). On the question of effective sample size in network modeling: an asymptotic inquiry. Statistical Science: a review journal, 30 (2), 184-198.
Current Positions:Lecturer in Statistics
National Institute for Applied Statistics Research Australia
School of Mathematics and Applied Statistics
Biography:Pavel Krivitsky received his Ph.D. in Statistics from University of Washington in 2009 and worked as a Visiting Research Scientist and a Research Associate at Carnegie Mellon University and Penn State University before moving to Wollongong in July of 2013.
Research Interests:Statistical modelling of social network data and processes
- Yue Ma : The Noise Multiplicative Method and Statistical Inference Based on Noise Multiplicative Data
- Rajib Dutta : Modelling and Prediction of Valued Social Networks with Semicontinuous Relationship Values
- Victoria Leaver : Theoretical and Practical Extensions of Methods for Maximum Likelihood Estimation in Survey Sampling
- Georgina Davies : Statistical Modelling of Pacific Sea Surface Temperatures